A survey of multimodal sentiment analysis

@article{Soleymani2017ASO,
  title={A survey of multimodal sentiment analysis},
  author={Mohammad Soleymani and David Garc{\'i}a and Brendan Jou and Bj{\"o}rn W. Schuller and Shih-Fu Chang and Maja Pantic},
  journal={Image Vision Comput.},
  year={2017},
  volume={65},
  pages={3-14}
}
Abstract Sentiment analysis aims to automatically uncover the underlying attitude that we hold towards an entity. The aggregation of these sentiment over a population represents opinion polling and has numerous applications. Current text-based sentiment analysis rely on the construction of dictionaries and machine learning models that learn sentiment from large text corpora. Sentiment analysis from text is currently widely used for customer satisfaction assessment and brand perception analysis… CONTINUE READING

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